- Build and maintain data pipelines using Azure Databricks.
- Process large datasets with PySpark and Spark SQL.
- Develop ETL/ELT workflows from multiple data sources.
- Optimize data quality, performance, and cost.
- Manage Delta Lake, notebooks, and Databricks workflows.
- Collaborate with data and business teams.
- Work with Azure services like ADLS and ADF.
Preferred candidate profile
- Robust experience with Azure Databricks and Databricks.
- Expertise in PySpark, Spark SQL, and distributed processing.
- Good knowledge of Delta Lake and Lakehouse architecture.
- Experience with Azure Data Factory, ADLS, and Azure DevOps is a plus.
- Strong understanding of ETL/ELT and data modeling.
- Good troubleshooting and performance optimization skills.
- Strong analytical and problem-solving abilities.
📌 Databricks Developer at An IT Service Company (Hyderabad)
🏢 Talentzo Delhi
📍 Hyderabad
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.